In a data providing server, whether or not specified compressed content data generated by means of a specified compression coding method corresponding to terminal identification information has been stored in a content database is detected, according to content specifying data transmitted from a portable dedicated terminal. If the specified compressed content data has been stored, the data providing server reads and transmits this to the portable dedicated terminal. And if the specified compressed content data has not been stored, the data providing server generates the specified compressed content data by means of the specified compression coding method, and transmits this to the portable dedicated terminal.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A server comprising: at least one storage unit configured to store user data for a user; and a matching unit configured to: access history data that indicates the user's history of purchasing or renting content items that belong to a plurality of content items; select, for the user, a content category from a plurality of content categories based on the history data; cause the content category to be reflected in the user data for the user; receive distribution data from each advertiser of a plurality of advertisers; wherein the plurality of advertisers includes a first advertiser; wherein the distribution data is data, independent of any particular advertisement, provided by each advertiser of the plurality of advertisers; and wherein the distribution data includes, for each advertiser of the plurality of advertisers: an advertiser identifier, and at least one distribution genre identifier; and based, at least in part, on a distribution genre identifier reflected in the distribution data for the first advertiser and the content category reflected in the user data, select the first advertiser, of the plurality of advertisers, as an advertiser to which information about the user is to be sent; wherein the server is configured to, based on the selection of the first advertiser by the matching unit, send information about the user to the first advertiser.
A server provides targeted advertising based on user content preferences. It stores user data, including history of purchased or rented content. A matching unit selects a content category for each user based on their history. Advertisers submit distribution data, independent of specific ads, including an advertiser ID and content genre. The server selects an advertiser if its content genre matches the user's preferred content category. User information is then sent to the selected advertiser.
2. The server according to claim 1 , wherein: the server is further configured to receive, from each content provider of a plurality of content providers, contents preference information comprising one or more of: purchase contents information that indicates what content items users have purchased from the content provider, and rental contents information that indicates what content items users have rented from the content provider, and the history data is based, at least in part, on the received contents preference information.
The targeted advertising server described above improves user preference accuracy by incorporating content provider data. The server receives content preference information from content providers, which includes records of user purchases and rentals from those providers. This content preference data is then factored into the user's history data, providing a more complete picture of the user's content interests when selecting an appropriate advertiser.
3. The server according to claim 2 , wherein the information about the user that the server provides to the first advertiser includes registration information, of the user, that the user provided to register with one or more content providers of the plurality of content providers.
Building on the previous targeted advertising system using content provider data, the user information sent to a selected advertiser includes registration details the user originally provided to content providers. So, if a user registered with a streaming service and provided their name and email, that same information can be shared with the matched advertiser when the user's content preferences align with the advertiser's genre.
4. The server according to claim 1 , wherein the matching unit is configured to select the first advertiser based, at least in part, on a comment, provided by the user.
In the targeted advertising server, user-provided comments are used to refine advertiser selection. In addition to purchase and rental history, the matching unit considers textual comments made by the user. This allows the server to identify nuanced interests and select advertisers whose products or services align with the sentiments expressed in the user's comments, improving advertising relevance.
5. The server according to claim 1 , further comprising a charging unit configured to charge a fee to the first advertiser in connection with supplying the information about the user to a terminal of the first advertiser.
The targeted advertising server monetizes its services by charging advertisers a fee for supplying user information. A charging unit tracks and bills advertisers based on the delivery of user data to their terminals. This provides a revenue stream for the server operator and incentivizes relevant ad targeting, since advertisers presumably value qualified leads.
6. The server according to claim 1 , wherein: the distribution data is part of sponsor registration information received from each advertiser of the plurality of advertisers; the sponsor registration information includes at least two of sponsor name, telephone number, email address, genre of recommendation contents, and comment.
For the targeted advertising server, advertiser information, which is called distribution data, is part of a larger sponsor registration information set. The sponsor registration info includes at least two of the following: sponsor name, telephone number, email address, content genre, and comment. This fuller profile of the advertiser helps to improve matching.
7. The server according to claim 6 , wherein the server is configured further to match user information and sponsor registration information.
Building upon the sponsor registration information in the targeted advertising server, the system matches user information with sponsor registration information to enhance ad targeting. By comparing detailed user profiles with comprehensive advertiser profiles, the server can identify optimal matches based on multiple factors such as expressed interests and content genre preferences.
8. The server according to claim 1 , wherein the matching unit is further configured to: determine using the access history data a number of times the user's history of purchasing or renting content items includes content of a first content category; compare the number of times with a threshold value, wherein the threshold value includes a number to determine whether the user has viewed enough of the first content category to demonstrate a taste of the user; and if the threshold value has been met, assign in the user's user data the first content category.
For the targeted advertising server, the content category selection uses a threshold to ensure sufficient user interest. The matching unit counts how many times a user has purchased or rented content from a particular category. If this count exceeds a threshold, indicating a genuine interest, then that content category is assigned to the user's profile.
9. The server according to claim 1 , wherein the server is further configured to cause the first advertiser to select advertising content that corresponds to the content category for the user.
The targeted advertising server enables the selected advertiser to customize their advertising content. After an advertiser is matched with a user based on content category, the server facilitates the selection of advertising content that specifically corresponds to the user's preferred category, increasing the likelihood of engagement and conversion.
10. The server according to claim 1 , wherein the server comprises an intermediate server including the matching unit and the matching unit is further configured to: receive from the user's device the user's history of purchasing or renting content items; and determine, based on a first content item of the user's history of purchasing or renting content items, that the first content item belongs to the content category; wherein the step of causing the content category to be reflected in the user data for the user comprises incrementing a value reflected in the user data associated with the content category.
In the targeted advertising server, the matching unit resides on an intermediate server. The intermediate server receives the user's content history from their device and determines the content category of each item. When an item belongs to a category, a value associated with that category in the user's profile is incremented, essentially scoring categories based on user activity.
11. A method, comprising acts of: (A) storing in at least one storage unit, user data for a user; and (B) executing a matching unit configured to: access history data that indicates the user's history of purchasing or renting content items that belong to a plurality of content items; select, for the user, a content category from a plurality of content categories based on the history data; cause the content category to be reflected in the user data for the user; receive distribution data from each advertiser of a plurality of advertisers, wherein the plurality of advertisers includes a first advertiser; wherein the distribution data is data, independent of any particular advertisement, provided by each advertiser of the plurality of advertisers, and wherein the distribution data includes, for each advertiser of the plurality of advertisers: an advertiser identifier, and at least one distribution genre identifier; and based, at least in part, on a distribution genre identifier reflected in the distribution data for the first advertiser and the content category reflected in the user data, select the first advertiser, of the plurality of advertisers, as an advertiser to which information about the user is to be sent, wherein based on the selection of the first advertiser, send information about the user to the first advertiser.
A method for providing targeted advertising functions by storing user data including content purchase and rental history. A matching process selects a content category for each user based on their history. Advertisers provide distribution data (not tied to specific ads), including an ID and content genre. The method selects an advertiser when its content genre matches a user's preferred category. User information is then sent to the selected advertiser.
12. The method according to claim 11 , further comprising: (C) receiving, from each content provider of a plurality of content providers, contents preference information submitted by the user, the contents preference information comprising one or more of purchase contents information that indicates what content items users have purchased from the content provider, or rental contents information that indicates what content items users have purchased from the content provider; and (D) receiving authorization to use the received contents preference information from the user; wherein the selecting the first advertiser is based at least in part on the contents preference information.
The targeted advertising method is enhanced by integrating content provider data and user authorization. The method involves receiving content preference information (purchase/rental history) from content providers, obtaining user consent to use this information, and then incorporating it into the advertiser selection process, resulting in more accurate and relevant ad targeting.
13. The method according to claim 12 , further comprising (D) supplying user information to a terminal associated with the first advertiser that the user provided to register with one or more content providers of the plurality of content providers.
Further improving the targeted advertising method, user registration information originally provided to content providers is shared with selected advertisers. After user consent and advertiser matching based on content preferences, the method shares details like name and email with advertisers whose products or services align with the user's demonstrated interests.
14. The method according to claim 11 , wherein the user data comprises a comment provided by the user used to select the first advertiser.
For the targeted advertising method, selection of an advertiser uses user-provided comments. In addition to purchase and rental history, a matching process considers textual comments made by the user when selecting the first advertiser. This allows the server to identify nuanced interests and select advertisers whose products or services align with the sentiments expressed in the user's comments, improving advertising relevance.
15. The method according to claim 11 , further comprising (C) charging a fee to the first advertiser in connection with supplying the information about the user to a terminal of the first advertiser.
The targeted advertising method generates revenue by charging advertisers for access to user information. After selecting an advertiser and providing them with user data, a fee is charged to the advertiser, compensating the platform for its targeting capabilities and incentivizing responsible and effective advertising practices.
16. The method according to claim 12 , wherein the distribution data is part of sponsor registration information that includes at least two of sponsor name, telephone number, email address, genre of recommendation contents, and comment.
Within the targeted advertising method, the distribution data from advertisers is part of sponsor registration information that includes at least two of sponsor name, telephone number, email address, genre of recommendation contents, and comment. This fuller profile of the advertiser helps to improve matching.
17. The method according to claim 16 , further comprising (C) matching user information and sponsor registration information.
Building upon the sponsor registration information in the targeted advertising method, the method includes matching user information with sponsor registration information to enhance ad targeting. By comparing detailed user profiles with comprehensive advertiser profiles, the server can identify optimal matches based on multiple factors such as expressed interests and content genre preferences.
18. At least one computer-readable medium having instructions recorded thereon which, when executed by a computer, perform a method comprising acts of: (A) storing in at least one storage unit, user data for a user; and (B) executing a matching unit configured to: access history data that indicates the user's history of purchasing or renting content items that belong to a plurality of content items; select, for the user, a content category from a plurality of content categories based on the history data; cause the content category to be reflected in the user data for the user; receive distribution data from each advertiser of a plurality of advertisers wherein the plurality of advertisers includes a first advertiser, wherein the distribution data is data, independent of any particular advertisement, provided by each advertiser of the plurality of advertisers, and wherein the distribution data includes, for each advertiser of the plurality of advertisers: an advertiser identifier, and at least one distribution genre identifier; and based, at least in part, on a distribution genre identifier reflected in the distribution data for the first advertiser and the content category reflected in the user data, select the first advertiser, of the plurality of advertisers, as an advertiser to which information about the user is to be sent.
A computer-readable medium stores instructions to perform a method for targeted advertising. The method stores user data with content purchase and rental history. A matching process selects a content category based on that history. Advertisers provide distribution data (independent of specific ads) that includes an ID and content genre. An advertiser is selected based on genre match, and user information is sent to them.
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April 18, 2012
March 21, 2017
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